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Catchpoint Blog

SRE Report: AI optimism and the economics of effort SRE Report: Why fast is what users trust SRE Report 2026: What surprised us, what didn't, and why the gaps matter most The SRE Report 2026: Defensible Ns Why Synthetic Tracing Delivers Better Data, Not Just More Data A New Chapter: LogicMonitor + Catchpoint – A Personal Note from Mehdi Mezmo + Catchpoint deliver observability SREs can rely on The four pillars holding up your digital business, and what happens when they crumble When payments pause: lessons from a global payments outage Observability 2025 Decoded: What the DZone Report Means for SLO-Driven Ops The next evolution of WebPageTest has arrived, and it’s a game-changer The Monitoring Blind Spot That Could Cost You Black Friday Powering Mexico’s Digital Future: Expanded Internet Observability with Catchpoint The Next Chapter of WebPageTest: Your New Experience Starts Soon SRE Report Retrospectives — Have AIOps Predictions Held Up? When BGP becomes UX: The inside story of a SaaS routing decision gone wrong (or right) Session Replay explained: A guide to seeing digital experience through your user’s eyes Making the invisible visible: Are your cloud firewalls and DDoS protection really working? Why it’s time to move beyond APM: Monitoring from the user’s perspective When metrics mislead: Inside the 2025 Retail Web Performance Benchmark The vendor trap: why your next outage won’t be your fault—but will be your problem LLMs don’t stand still: How to monitor and trust the models powering your AI Semantic Caching: What We Measured, Why It Matters The Annual SRE Survey Is Open—We Want to Hear from You Observability isn’t about the tool. It’s about the truth Invisible dependencies, visible impact: Lessons from the Google Cloud outage Real-time detection of BGP blackholing and prefix hijacks Leading analyst firm reveals the real cost of internet disruptions The Power of Over 3000 Intelligent Observability Agents Monitoring in the Age of Complexity: 5 Assumptions CIOs Need to Rethink Why Intelligent Traffic Steering is Critical for Performance and Cost Optimization Retail digital performance event recap: Key insights from IBM & Catchpoint Zendesk outage: A case for proactive monitoring and faster incident response Silence during chaos: Why the X outage is a call to arms for proactive monitoring The $1 Million Lesson: Building a Culture of Quality Through SLAs When AI tools fail: How to map your AI dependencies for proactive visibility Why Super Bowl 2025 was a triumph for Internet Resilience Why Internet Performance Monitoring is the new health check for IT organizations Why use Playwright in Catchpoint for synthetic monitoring Introducing WebPageTest Expert Plan: Real-Time Insights, Synthetic + RUM together in One Platform The shift to digital: How businesses are reshaping their priorities for 2025 The SRE Report 2025's Call to Action Monitoring in the Age of the Internet: DEM, IPM, and APM—What You Need to Know SSL Monitoring, Trust, and McLOVIN Performing for the holidays: Look beyond uptime for season sales success Lessons from Microsoft’s office 365 Outage: The Importance of third-party monitoring Web Performance Experts Look into the Future of Web Performance The hidden challenges of Internet Resilience: Key insights from 2024 report When SSL Issues aren’t just about SSL: A deep dive into the TIBCO Mashery outage The curious case of Marriott and the untold impact of web performance on revenue Preparing for the unexpected: Lessons from the AJIO and Jio Outage It’s time to stop neglecting the elephant in the room: Performance Matters! The Need for Speed: Highlights from IBM and Catchpoint’s Global DNS Performance Study Learnings from ServiceNow’s Proactive Response to a Network Breakdown Webinar Recap: Taking Web Performance to the Next Level Use the Catchpoint Terraform Provider in your CI/CD workflows Is the Internet ready for L4S? Takeaways from the CrowdStrike outage: third-parties can pose risk July 19th global IT outage reminds us of digital complexity 5 Actions you can take to improve digital performance 2024: A banner year for Internet Resilience APM vs Observability: Both-and, not either-or AppAssure: Ensuring the resilience of your Tier-1 applications just became easier APM vs observability: why your definitions are broken APM vs Observability: What comes next? APM vs Observability: Observing beyond APM Achieving stability with agility in your CI/CD pipeline Agentic AI: Powerful But Fragile—What You Need to Know Catch frustration before it costs you: New tools for a better user experience Catchpoint Expands Observability Network to Barcelona: A Growing Internet Hub Catchpoint Peak Performance Summit 2025: Redefining Observability for the Outcome Economy Catchpoint named a leader in the 2024 Gartner® Magic Quadrant™ for Digital Experience Monitoring Consolidation and Modernization in Enterprise Observability Connected Devices: Unlocking the next frontier of Internet Performance Monitoring Cloud Monitoring's Blind Spot: The User Perspective Cloudflare’s Resolver Outage: More Than Just DNS Cloudflare outage: another wake-up call for resilience planning Demystifying API Monitoring and Testing with IPM Creating the IPM Category: Catchpoint’s Journey to Leadership and the LogicMonitor Era Critical Requirements for Modern API Monitoring Customer Survey 2024: Unveiling insights and impact Did Delta's slow web performance signal trouble before CrowdStrike? Diagnosing Wi-Fi failures that traditional tools miss: a case study DNS misconfiguration can happen to anyone - the question is how fast can you detect it? ECN explained: Navigate congestion for faster, smoother data delivery Don’t get caught in the dark: Lessons from a Lumen & AWS micro-outage Escalating risk, shrinking margins: The 2025 Internet Resilience Report From refresh to results: the metrics that shaped Election Day 2024 coverage Fast and furious: The importance of performance in the digital age Getting Started with Traceroute From the source to the edge: the six agent types you can’t ignore From SEO to AEO: Why Web Performance Is the Key to AI Search Success Going for gold: Testing the resilience of Olympic websites Here’s the proof: What the fastest sites on the web have in common Google’s Agent-to-Agent (A2A) Protocol is here—Now Let’s Make it Observable How IPM helped a top tech brand catch an OpenAI outage before it became a crisis How AI Turns Monitoring From “What Now?” Into “What’s Next?” How SAP achieved world-class uptime through modern observability How to Monitor AI Agents in Commerce Systems
AWS Outage: How do you prepare for the failure of your own safety net?
2026-05-31 · via Catchpoint Blog

in this blog post

When AWS’s massive outage struck, it didn’t just take down cloud services, apps, and enterprise platforms. It also knocked out many of the monitoring systems organizations depend on for real-time answers. Observability companies, including Datadog, New Relic, Checkly, Dynatrace, SpeedCurve, and Splunk Observability, lost visibility or functionality precisely when organizations needed them most.  

In those first, chaotic 15–20 minutes, before teams knew the problem was AWS East, most teams were left flying blind, unable to see what was really happening, simply because their monitoring tools live in the very cloud that just failed.  

How do you ensure ongoing visibility and rapid response when your cloud-hosted monitoring tools might go down too? What steps can you take today to protect your organization from getting caught out next time a major outage hits? Let’s get into it.  

What happens when your monitoring fails?

This question is not rhetorical, it's essential. As Adrian Cockcroft, writes: monitoring systems themselves can fail, and when they do, organizations are left without the visibility needed to respond effectively. You need monitoring that is independent of the systems being monitored.  

The AWS outage demonstrated this principle. Organizations that relied solely on cloud-hosted monitoring tools found themselves blind to the very outage impacting their operations. The lesson is clear: your monitoring strategy must account for the possibility that your monitoring tools themselves can fail.  

How can you prevent massive outages from catching your business off guard?

To avoid getting caught out by future incidents, organizations need to rethink their approach to monitoring and resilience. Here are the key steps:

#1. Your monitoring can’t live in the same cloud you’re trying to monitor

Relying on monitoring tools that are hosted exclusively, in the same cloud environment as your critical systems or vendors creates a significant risk. If that cloud experiences an outage, both your production systems and your monitoring can go down together, leaving you without visibility at the most critical moment.

Even as we wrap-up this post at 4pm ET, many of the leading monitoring platform still report incidents on their status pages.

#2. Map your critical third-party dependencies

Most organizations are not fully aware of all the dependencies their digital systems rely on. If you're a retailer, for example, even if your website is architected to survive a cloud provider outage, it still depends on DNS, BGP routing, SSL certificates, CDN services, payment processing systems, third-party APIs, cloud services, and dozens of smaller components. Any of these can fail and impact your operations.  

Action: Conduct a thorough audit of your critical systems. Internet dependency mapping tools like Internet Stack Map can help you visualize and document every protocol, service, and third-party vendor your operations rely on, making it easier to pinpoint single points of failure and strengthen your resilience.

#3. Develop a resilience plan

For each critical system, develop a resilience plan that includes multi-cloud or multi-region architectures, redundant systems, and documented fallback procedures. Cloud engineering teams have embraced Chaos Engineering, a philosophy of deliberately testing failure scenarios to understand how systems break and how to respond. Because things will break; it's just a matter of when, and whether you're prepared.  

Action: Implement chaos testing, tabletop exercises, and regular drills. Build redundancy where it matters most. Document and practice your incident response playbook.

#4. Invest in Internet Performance Monitoring

Many organizations have not invested enough in Internet Performance Monitoring (IPM), a solution that provides visibility into the performance and availability of every aspect of the internet stack, internal and external. IPM gives you the critical awareness you need to detect, diagnose, and respond to outages across the entire stack as most monitoring tools are not internet-aware.  

Action: Deploy IPM to ensure you have external visibility into cloud providers, DNS, CDN, and other critical services.

#5. Make resilience a priority

Resilience should not be an afterthought. Hope is not a strategy – internet systems are interdependent and fragile. Learn about the resilience formula. Invest in planning, redundancy, runbooks, and processes needed to make it a reality.

It could be hard to invest in resilience amidst the push for consolidation, especially as most organizations have observability sticker shock. However, there is a strong argument to shift the focus from more data to better data, reducing costs while improving actionable visibility.  

Forward organizations are investing in a Chief Resilience Officer to meet the needs of Internet resilience in the business with a position that signals the importance of the matter and has the organizational power and focus to make it happen.

How Catchpoint caught the incident 16 Minutes ahead of AWS reporting it

Catchpoint's Internet Sonar detected the AWS outage at 06:55 AM UTC — a full 16 minutes before AWS updated its status page at 07:11 AM UTC.  

A map of the world with orange circlesAI-generated content may be incorrect.

Internet Sonar dashboard showing global impact of the AWS outage, with Asia Pacific, Europe, Middle East and Africa, Latin America and North America affected

A screen shot of a graphAI-generated content may be incorrect.

Scatterplot visualization of test performance and failures from dozens of monitoring locations and services during the AWS outage. Across the timeline, there's a sharp spike in failed tests and dramatically increased response times.

Those 16 minutes are not trivial. In a crisis, every minute counts. Picture the war room: executives demanding answers, teams racing to diagnose the issue, work grinding to a halt, calls flooding in from the CIO and CEO. If you don't know what's happening, those 16 minutes feel like an eternity.  

How early detection was possible

Internet Sonar continuously monitors billions of signals in real time, providing alerts and updates on key services worldwide. Take a peek at the Live Internet Outages Map powered by Internet Sonar .  

If your monitoring platforms rely on AWS, they most likely lacked visibility to this incident. You probably learned about the outage from frustrated customers, users flooding support lines, or marketing teams monitoring social media. You may have been in the dark for 16 minutes or much longer about what was actually wrong.  

Conclusion

AWS’s outage is reminder of the fragility and complexity of the modern internet. Today it was AWS and DNS; tomorrow it could be Azure and a certificate issue; the day after, Google and BGP routing. Each layer of the Internet Stack, including cloud providers, DNS, CDN, SSL certificates, APIs, and payment processors, introduces risk. The question is not whether outages will happen, but how prepared you are when they do.

Organizations that rely solely on cloud-hosted monitoring tools risk lacking visibility to the very incidents that threaten their operations. The solution is clear: adopt independent, external monitoring; map your dependencies; invest in resilience; and prepare for failure.  

Summary

When AWS’s massive outage struck, it didn’t just take down cloud services, apps, and enterprise platforms. It also knocked out many of the monitoring systems organizations depend on for real-time answers. Observability companies, including Datadog, New Relic, Checkly, Dynatrace, SpeedCurve, and Splunk Observability, lost visibility or functionality precisely when organizations needed them most.  

In those first, chaotic 15–20 minutes, before teams knew the problem was AWS East, most teams were left flying blind, unable to see what was really happening, simply because their monitoring tools live in the very cloud that just failed.  

How do you ensure ongoing visibility and rapid response when your cloud-hosted monitoring tools might go down too? What steps can you take today to protect your organization from getting caught out next time a major outage hits? Let’s get into it.  

What happens when your monitoring fails?

This question is not rhetorical, it's essential. As Adrian Cockcroft, writes: monitoring systems themselves can fail, and when they do, organizations are left without the visibility needed to respond effectively. You need monitoring that is independent of the systems being monitored.  

The AWS outage demonstrated this principle. Organizations that relied solely on cloud-hosted monitoring tools found themselves blind to the very outage impacting their operations. The lesson is clear: your monitoring strategy must account for the possibility that your monitoring tools themselves can fail.  

How can you prevent massive outages from catching your business off guard?

To avoid getting caught out by future incidents, organizations need to rethink their approach to monitoring and resilience. Here are the key steps:

#1. Your monitoring can’t live in the same cloud you’re trying to monitor

Relying on monitoring tools that are hosted exclusively, in the same cloud environment as your critical systems or vendors creates a significant risk. If that cloud experiences an outage, both your production systems and your monitoring can go down together, leaving you without visibility at the most critical moment.

Even as we wrap-up this post at 4pm ET, many of the leading monitoring platform still report incidents on their status pages.

#2. Map your critical third-party dependencies

Most organizations are not fully aware of all the dependencies their digital systems rely on. If you're a retailer, for example, even if your website is architected to survive a cloud provider outage, it still depends on DNS, BGP routing, SSL certificates, CDN services, payment processing systems, third-party APIs, cloud services, and dozens of smaller components. Any of these can fail and impact your operations.  

Action: Conduct a thorough audit of your critical systems. Internet dependency mapping tools like Internet Stack Map can help you visualize and document every protocol, service, and third-party vendor your operations rely on, making it easier to pinpoint single points of failure and strengthen your resilience.

#3. Develop a resilience plan

For each critical system, develop a resilience plan that includes multi-cloud or multi-region architectures, redundant systems, and documented fallback procedures. Cloud engineering teams have embraced Chaos Engineering, a philosophy of deliberately testing failure scenarios to understand how systems break and how to respond. Because things will break; it's just a matter of when, and whether you're prepared.  

Action: Implement chaos testing, tabletop exercises, and regular drills. Build redundancy where it matters most. Document and practice your incident response playbook.

#4. Invest in Internet Performance Monitoring

Many organizations have not invested enough in Internet Performance Monitoring (IPM), a solution that provides visibility into the performance and availability of every aspect of the internet stack, internal and external. IPM gives you the critical awareness you need to detect, diagnose, and respond to outages across the entire stack as most monitoring tools are not internet-aware.  

Action: Deploy IPM to ensure you have external visibility into cloud providers, DNS, CDN, and other critical services.

#5. Make resilience a priority

Resilience should not be an afterthought. Hope is not a strategy – internet systems are interdependent and fragile. Learn about the resilience formula. Invest in planning, redundancy, runbooks, and processes needed to make it a reality.

It could be hard to invest in resilience amidst the push for consolidation, especially as most organizations have observability sticker shock. However, there is a strong argument to shift the focus from more data to better data, reducing costs while improving actionable visibility.  

Forward organizations are investing in a Chief Resilience Officer to meet the needs of Internet resilience in the business with a position that signals the importance of the matter and has the organizational power and focus to make it happen.

How Catchpoint caught the incident 16 Minutes ahead of AWS reporting it

Catchpoint's Internet Sonar detected the AWS outage at 06:55 AM UTC — a full 16 minutes before AWS updated its status page at 07:11 AM UTC.  

A map of the world with orange circlesAI-generated content may be incorrect.

Internet Sonar dashboard showing global impact of the AWS outage, with Asia Pacific, Europe, Middle East and Africa, Latin America and North America affected

A screen shot of a graphAI-generated content may be incorrect.

Scatterplot visualization of test performance and failures from dozens of monitoring locations and services during the AWS outage. Across the timeline, there's a sharp spike in failed tests and dramatically increased response times.

Those 16 minutes are not trivial. In a crisis, every minute counts. Picture the war room: executives demanding answers, teams racing to diagnose the issue, work grinding to a halt, calls flooding in from the CIO and CEO. If you don't know what's happening, those 16 minutes feel like an eternity.  

How early detection was possible

Internet Sonar continuously monitors billions of signals in real time, providing alerts and updates on key services worldwide. Take a peek at the Live Internet Outages Map powered by Internet Sonar .  

If your monitoring platforms rely on AWS, they most likely lacked visibility to this incident. You probably learned about the outage from frustrated customers, users flooding support lines, or marketing teams monitoring social media. You may have been in the dark for 16 minutes or much longer about what was actually wrong.  

Conclusion

AWS’s outage is reminder of the fragility and complexity of the modern internet. Today it was AWS and DNS; tomorrow it could be Azure and a certificate issue; the day after, Google and BGP routing. Each layer of the Internet Stack, including cloud providers, DNS, CDN, SSL certificates, APIs, and payment processors, introduces risk. The question is not whether outages will happen, but how prepared you are when they do.

Organizations that rely solely on cloud-hosted monitoring tools risk lacking visibility to the very incidents that threaten their operations. The solution is clear: adopt independent, external monitoring; map your dependencies; invest in resilience; and prepare for failure.  

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